Human Swarm Interaction (HSI) is a fast-growing research area in swarm robotics. One challenging aspect of HSI is facilitating how humans can effectively handle the many degrees-of-freedom present in a swarm of robots. One emergent option is the use of Augmented Reality (AR) systems. AR based interfaces are attractive as they can help provide a human operator with visual cues about the swarm’s states and control to facilitate decision-making. In research settings, AR systems can address issues such as limited availability of lab spaces, limited access to robotics resources, and the need for the ability to simulate dynamic environments with which robots and humans can interact. Further, to make swarm robotics more accessible and ubiquitous, HSI systems that support remote interaction would al- low humans to interact with robot swarms and multi-robot systems regardless of the geographical distance between humans and swarms. Taking these into consid- eration, this thesis aims to investigate the effectiveness of AR based interfaces as tools for remote interaction in HSI systems. We develop a simple AR based in- terface and evaluate its effectiveness against an unaugmented interface, by means of remote human user studies. The results of these studies help demonstrate the effectiveness of AR based interfaces for remote HSI.